Crewship is a specialized hosting and orchestration platform designed for developers who need to move AI agents from local development into production environments without managing their own server infrastructure. The service bridges the gap between building complex workflows in frameworks like CrewAI or LangGraph and running them as reliable web services. Instead of manually configuring containers or cloud functions, users push their code through a command-line interface to a managed environment that handles execution, scaling, and secret management automatically. The platform is particularly useful for those building stateful applications, as it includes a dedicated Threads API for persistent chat and the ability to trigger agents via webhooks or fixed schedules. Beyond simple hosting, it provides the specific telemetry required for agentic workflows, such as real-time streaming of an agent's decision-making steps and automated collection of generated artifacts. By centralizing deployment history and run logs in a single console, it helps teams monitor and debug non-deterministic AI behavior without the overhead of building custom monitoring tools. This focus on the final stages of agent development makes it a practical choice for developers looking to integrate autonomous agents into existing software stacks.
Problem: Developers build complex AI crews locally but struggle to host them as reliable, scalable web services.
Solution: Crewship provides a managed environment for CrewAI and LangGraph agents with one-command deploy.
Example: A dev pushes a multi-agent research crew to a production URL using the CLI.
Problem: Automating periodic AI tasks like weekly reporting requires managing cron jobs and servers.
Solution: The platform allows users to schedule agent runs on autopilot with built-in monitoring.
Example: A business schedules an agent to scrape industry news and send a Slack summary every Monday morning.
Target audience: Best for: AI developers, Startup founders, Backend engineers
Pricing: Paid · Categories: Chatbot Development, Developer Tools, Startup tools
Tags: AI, ai agent, API, chatbot, developer tools
Visit Crewship - Deploy AI agents in seconds
Crewship is a managed hosting and orchestration platform built for deploying AI agents. It allows developers to deploy agents created with frameworks such as CrewAI and LangGraph into production. By handling cloud execution, scaling, and secret management, Crewship removes the operational burden of setting up custom server infrastructure and container configurations.
Crewship deploys AI agents through a command-line interface and runs them in a managed cloud environment. Key capabilities include triggering runs via webhooks, scheduling automated runs, managing API secrets securely, and maintaining persistent chat through a Threads API. It also streams real-time agent decision steps and stores execution logs and artifacts in a central dashboard.
Crewship supports agent workflows developed using CrewAI and LangGraph. Developers can build multi-agent crews or stateful graph workflows locally and deploy them directly to Crewship to run as reliable cloud services. The platform accommodates stateful applications through a Threads API and tracks non-deterministic agent executions with run logs and telemetry.
To deploy agents with Crewship, developers use the platform's command-line interface to push their agent codebase to the managed hosting environment. Because specific CLI commands depend on your project setup, you should refer to the official documentation and instructions on crewship.dev for step-by-step setup guides and configuration requirements.
Crewship is offered under a paid pricing model. It caters to AI developers, backend engineers, and startup founders who require managed hosting, scheduling, and telemetry for production AI agents. Specific pricing tiers, plan details, and subscription options can be reviewed directly on the official Crewship website.